Optimization equation sediment rating curves in sediment discharge rate using particle swarm algorithm (PSO) and annealing (SA) (Case Study Bijar station)

Subject Areas : rosub

alireza Vafaeinejad ¹ , zahra chatsimab ² , samira bloori ³ , farshad mirdar harijani ⁴

1 - Assistant Professor, Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University
2 - PhD Candidate, Department of GIS & RS, Science & Research Branch, Islamic Azad University, Corresponding Author
3 - PhD Candidate, Department of GIS & RS, Science & Research Branch, Islamic Azad University
4 - MSc in Watershed, Forests, Range and Watershed Management Organization

Received: 2017-01-21 Accepted : 2017-10-01 Published : 2017-11-22

Keywords: SA, Optimization, suspended sediment, Algorithm PSO, Shhrbyjar station,

Abstract :

Erosion and sediment transport in rivers is one of the most important and complex issue. This special effects on water quality indices, floor and sides of the river action and also damages the development projects inserted to better estimate the suspended sediment rating curve equation is based on the equation coefficients be optimized. One of the sediment rating curve coefficients optimization methods, the use of met heuristic respectively. This study optimization algorithm and particle swarm optimization equipment for sediment rating curve coefficients for the stations and Bijar The results of these models with sediment rating curves respectively. To calculate sediment discharge, required data such as water discharge and sediment concentration measured at study stations is collected Algorithm optimization models particles and refrigeration were coded in MATLAB software. After the models were trained with 70 percent of the data, 15 percent of the data was tested in Bijar station. Standard models to evaluate the coefficient of determination, Nash coefficient and root mean square error, respectively. Minimum amount of root mean square error and then annealing the lie to the amount of 19.7 tons per day.

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